HABs - Hyperspectral and satellite algorithm development

View true-color hyperspectral imagery

The links below will take you to a map interface to view georeferenced, true-color hyperspectral image data from the respective date.
Given the total size of the data can range up to and beyond 1 GB of data, we recommend closing other browser tabs and windows
to better guarantee viewing of the data.

Imagery in the maps below that appear a pink-like color are a product of sun glint.

About

NOAA GLERL and the University of Michigan's Cooperative Institute for Great Lakes Research began a weekly airborne campaign to assist in improvements to HAB forecast, in 2015 to capture images of harmful algal blooms in western Lake Erie. This airborne campaign is ongoing in conjunction with our weekly Lake Erie monitoring and biweekly sampling in Saginaw Bay. The flyovers are done in collaboration with researchers at NASA Glenn that have been flying their own airborne imaging sensor.

The weekly airborne images are hyperspectral, meaning it contains many more bands of discrete wavelengths than a typical spaceborne satellite. At NOAA GLERL, we use the Resonon Pika II sensor. Images have 240 bands that span the range of 400 to 900 nanometers, where the visible range that the human eye sees is from about 380 to 750 nanometers. The aircraft usually flies at an altitude that allows researchers to obtain images that are 1-meter to sub 1-meter pixel size, also called the spatial resolution. Hyperspectral sensing imagers offer a finer pixel size compared to the typical 1-kilometer spatial resolution from multi-spectral spaceborne satellites and offer many more bands that can be used to detect different types of algal groups. Typical spaceborne satellites that are multispectral are also only capable of capturing 20-30 images in the spring-fall period when blooms are present because of cloud cover. Hyperspectral images are obtained even on cloudy days, as the plane is able to fly under the clouds. All of these benefits of hyperspectral sensing imagers offer water intake managers a key resource for identifying the type and location of algal blooms near water intake systems.